Fault Injection in GPGPU Cores to Validate and Debug Robust Parallel Applications

General Purpose Graphic Processing Units (GPGPUs) are more efficient than CPUs for processing parallel data. Unfortunately, GPGPUs are sensible to radiation. Hence, several software mitigation techniques, as well as robust algorithms, are being developed to overcome reliability problems. In this paper we propose a software debugger-based fault injection mechanism to evaluate the resiliency of applications running on a GPGPU and to validate the software hardening techniques it possibly embeds. We report some experimental results gathered on selected case studies to show the proposed approach advantages and limitations.